I spent years running six figure monthly ad budgets for law firms. The thing that always drove me crazy was this: Google Ads optimizes on what it can see. A form fill. A phone call. But it has no idea what happens after that. Did the lead actually show up? Did they have budget? Did they sign a contract? So the algorithm just keeps finding more people who fill out forms. Some of those people are great. A lot of them are garbage. And you're paying the same cost per click either way. I tried connecting CRM data back to Google manually. It worked, kind of, but it was fragile, took forever to maintain, and broke every time something changed on either end. The tools that exist for this cost $400 to $5,000 a month and are mostly built for ecom. So I built Adscriptly. It pulls conversion signals from places like CallRail, HubSpot, Salesforce, Pipedrive, GoHighLevel, and others, then uses AI to score those leads and push enriched conversion data back into Google Ads. The idea is simple. Tell the algorithm which leads actually turned into money so it stops chasing the ones that didn't. There's also a keyword optimization agent that watches search terms and flags wasted spend automatically. Tech stack if anyone's curious: the platform connects via APIs to CRMs, call tracking platforms, and Google Ads. Lead scoring runs through ML models looking at call duration, engagement patterns, and custom criteria you set. I'm at launch stage. Product is live, I'm looking for early users who run Google Ads want to try it.